In an October 2018 report published by Stratistics MRC, the global cloud-based database solution market was $ 6.12 billion in 2017 and is expected to reach $ 495.26 billion by 2026 growing at a CAGR of 62.9% during the…

According to DB-Engines, MySQL remains the most popular open source database by a wide margin. The DB-Engine ranking, which considers factors such as search engine queries, technical discussions on popular sites, and job board postings, scores MySQL about three times…

AWS made several major announcements last week at re:Invent to strengthen the hybrid capabilities of Amazon cloud databases. With these announcements, AWS brings Amazon cloud databases on-premise, combining the advantages of managed services with on-premise deployment. Customers concerned about…

The question is not as obvious as it appears. At first blush, data migration could not be more straight forward. And, a multitude of choices for data migration tools exist. Tools are available from legacy database providers, cloud vendors,…

Organizations are frantically searching for a cloud data migration process which will both migrate and modernize legacy Oracle databases. Open source database alternatives are cheaper, more scalable, and require much less effort to manage as services from cloud providers. …

With so many choices now available for moving data, the key differentiators can get lost in the noise. The question 'what is a data pipeline?' becomes especially relevant when needing to move mission-critical data from transactional data stores. The question…

For many users, the data center cloud migration provides a first and last exposure to data migration software. This is because in many IT departments, cloud migration is a one-time event before moving on to more strategic activities. Paradoxically, this…

Most data scientists and database experts know that transactional data is unique. Transactional data is valuable only when it exists in an ecosystem of transactional semantics. Yet, transactional data is still sometimes shared using buses or queues that treat…

Using a source containing the New York City 311 dataset, Griddable starts by copying the initial load from on-prem to cloud across heterogeneous databases while simultaneously synchronizing each new transaction. Griddable sources and targets are always transactionally consistent and transactions…